However, such detailed models are not feasible for very large reaction networks because of the high computational cost and unavailability of kinetic parameters.
Several other approaches have been proposed with the primary aim of capturing general and universal properties of biochemical reaction networks in self-replicating living systems.
Examples of such models include \((M,R)\) -systems [1]}, hypercycles [2]}, autopoetic systems [3]}, chemotons [4]}, autocatalytic sets [5]} and chemical reaction systems [6]}.
The common property of such models is that they focus on the catalysis of network reactions by chemicals, which are themselves produced by reactions within the network.
They usually do not require kinetic details, but only the knowledge of all reactions.
An in-depth discussion and comparison of such approaches can be found in [7]}.
